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The last decade has seen a rapid growth in our understanding of the
cognitive systems that underlie mathematical learning and
performance, and an increased recognition of the importance of this
topic. This book showcases international research on the most
important cognitive issues that affect mathematical performance
across a wide age range, from early childhood to adulthood. The
book considers the foundational competencies of nonsymbolic and
symbolic number processing before discussing arithmetic, conceptual
understanding, individual differences and dyscalculia, algebra,
number systems, reasoning and higher-level mathematics such as
formal proof. Drawing on diverse methodology from behavioural
experiments to brain imaging, each chapter discusses key theories
and empirical findings and introduces key tasks used by
researchers. The final chapter discusses challenges facing the
future development of the field of mathematical cognition and
reviews a set of open questions that mathematical cognition
researchers should address to move the field forward. This book is
ideal for undergraduate or graduate students of psychology,
education, cognitive sciences, cognitive neuroscience and other
academic and clinical audiences including mathematics educators and
educational psychologists.
The last decade has seen a rapid growth in our understanding of the
cognitive systems that underlie mathematical learning and
performance, and an increased recognition of the importance of this
topic. This book showcases international research on the most
important cognitive issues that affect mathematical performance
across a wide age range, from early childhood to adulthood. The
book considers the foundational competencies of nonsymbolic and
symbolic number processing before discussing arithmetic, conceptual
understanding, individual differences and dyscalculia, algebra,
number systems, reasoning and higher-level mathematics such as
formal proof. Drawing on diverse methodology from behavioural
experiments to brain imaging, each chapter discusses key theories
and empirical findings and introduces key tasks used by
researchers. The final chapter discusses challenges facing the
future development of the field of mathematical cognition and
reviews a set of open questions that mathematical cognition
researchers should address to move the field forward. This book is
ideal for undergraduate or graduate students of psychology,
education, cognitive sciences, cognitive neuroscience and other
academic and clinical audiences including mathematics educators and
educational psychologists.
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